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Associations between overactive bladder and sleep patterns: a cross-sectional study based on 2007–2014 NHANES
OBJECTIVES: To determine whether relationship exists between overactive bladder (OAB) and sleep patterns through the cross-sectional study. PATIENTS AND METHODS: Patients from the National Health and Nutrition Examination Survey (NHANES) 2007–2014 were included in this study. Data were extracted thr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642019/ https://www.ncbi.nlm.nih.gov/pubmed/37957629 http://dx.doi.org/10.1186/s12894-023-01329-z |
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author | Lu, Zechao Zhang, Jiahao Lin, Shihao Fan, Zhongxi He, Zhaohui Tang, Fucai |
author_facet | Lu, Zechao Zhang, Jiahao Lin, Shihao Fan, Zhongxi He, Zhaohui Tang, Fucai |
author_sort | Lu, Zechao |
collection | PubMed |
description | OBJECTIVES: To determine whether relationship exists between overactive bladder (OAB) and sleep patterns through the cross-sectional study. PATIENTS AND METHODS: Patients from the National Health and Nutrition Examination Survey (NHANES) 2007–2014 were included in this study. Data were extracted through questionnaires, including demographics, dietary and health-related behaviors, body measurements and disease information. Three sleep factors were included to aggregate overall sleep scores, ranging from 0 to 3. A sleep score of 0 to 1, 2 or 3 was expressed as a bad, intermediate or healthy sleep pattern, respectively. The Overactive Bladder Symptom Score (OABSS) scale was applied to quantify the severity of OAB for each participant. Weighted logistic regression models were used to investigate the associations between sleep and OAB. RESULTS: A total of 16,978 participants were enrolled in this study. The relationship between OAB and sleep patterns was statistically significant. After fully adjusting for confounding factors, the OAB risk of patients with intermediate and poor sleep patterns obviously increased by 26% and 38%, respectively, and mild (OR = 1.21, 95% CI [1.03,1.42]), moderate (OR = 1.45, 95% CI [1.27,1.66]) and severe (OR = 1.57, 95% CI [1.18,2.09]) OAB were significantly associated with sleep pattern grouping. The prevalence of OAB is significantly higher in patients with bad sleep patterns, and vice versa. CONCLUSION: This study indicated that there is a positive relationship between OAB and worse sleep-related issues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12894-023-01329-z. |
format | Online Article Text |
id | pubmed-10642019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106420192023-11-14 Associations between overactive bladder and sleep patterns: a cross-sectional study based on 2007–2014 NHANES Lu, Zechao Zhang, Jiahao Lin, Shihao Fan, Zhongxi He, Zhaohui Tang, Fucai BMC Urol Research OBJECTIVES: To determine whether relationship exists between overactive bladder (OAB) and sleep patterns through the cross-sectional study. PATIENTS AND METHODS: Patients from the National Health and Nutrition Examination Survey (NHANES) 2007–2014 were included in this study. Data were extracted through questionnaires, including demographics, dietary and health-related behaviors, body measurements and disease information. Three sleep factors were included to aggregate overall sleep scores, ranging from 0 to 3. A sleep score of 0 to 1, 2 or 3 was expressed as a bad, intermediate or healthy sleep pattern, respectively. The Overactive Bladder Symptom Score (OABSS) scale was applied to quantify the severity of OAB for each participant. Weighted logistic regression models were used to investigate the associations between sleep and OAB. RESULTS: A total of 16,978 participants were enrolled in this study. The relationship between OAB and sleep patterns was statistically significant. After fully adjusting for confounding factors, the OAB risk of patients with intermediate and poor sleep patterns obviously increased by 26% and 38%, respectively, and mild (OR = 1.21, 95% CI [1.03,1.42]), moderate (OR = 1.45, 95% CI [1.27,1.66]) and severe (OR = 1.57, 95% CI [1.18,2.09]) OAB were significantly associated with sleep pattern grouping. The prevalence of OAB is significantly higher in patients with bad sleep patterns, and vice versa. CONCLUSION: This study indicated that there is a positive relationship between OAB and worse sleep-related issues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12894-023-01329-z. BioMed Central 2023-11-13 /pmc/articles/PMC10642019/ /pubmed/37957629 http://dx.doi.org/10.1186/s12894-023-01329-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lu, Zechao Zhang, Jiahao Lin, Shihao Fan, Zhongxi He, Zhaohui Tang, Fucai Associations between overactive bladder and sleep patterns: a cross-sectional study based on 2007–2014 NHANES |
title | Associations between overactive bladder and sleep patterns: a cross-sectional study based on 2007–2014 NHANES |
title_full | Associations between overactive bladder and sleep patterns: a cross-sectional study based on 2007–2014 NHANES |
title_fullStr | Associations between overactive bladder and sleep patterns: a cross-sectional study based on 2007–2014 NHANES |
title_full_unstemmed | Associations between overactive bladder and sleep patterns: a cross-sectional study based on 2007–2014 NHANES |
title_short | Associations between overactive bladder and sleep patterns: a cross-sectional study based on 2007–2014 NHANES |
title_sort | associations between overactive bladder and sleep patterns: a cross-sectional study based on 2007–2014 nhanes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642019/ https://www.ncbi.nlm.nih.gov/pubmed/37957629 http://dx.doi.org/10.1186/s12894-023-01329-z |
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